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The properties of lithium metal are key parameters in the design of lithium ion and lithium metal batteries. They are difficult to probe experimentally due to the high reactivity and low melting point of lithium as well as the microscopic…

Li$_6$PS$_5$Cl is a promising candidate for the solid electrolyte in all-solid-state Li-ion batteries. In applications, this material is in a polycrystalline state with grain boundaries (GBs) that can affect ionic conductivity. While…

Materials Science · Physics 2024-12-02 Yongliang Ou , Yuji Ikeda , Lena Scholz , Sergiy Divinski , Felix Fritzen , Blazej Grabowski

Chemical segregation and structural transitions at interfaces are important nanoscale phenomena, making them natural targets for atomistic modeling, yet interatomic potentials must be fit to secondary physical properties. To isolate the…

Materials Science · Physics 2018-02-08 Yang Hu , Jennifer D. Schuler , Timothy J. Rupert

An effective method for the quantitative description of the electronic excited states of polyatomic systems is developed by using computer technology. The proposed method allows calculating various properties of matter at the atomic level…

Atomic Physics · Physics 2016-02-22 A. V. Popov

Laser ablation is often explained by a two-temperature model (TTM) with different electron and lattice temperatures. To realize a classical molecular dynamics simulation of the TTM, we propose an extension of the embedded atom method to…

Materials Science · Physics 2022-03-09 Yuta Tanaka , Shinji Tsuneyuki

We describe and characterize an experimental apparatus that has been used to study interactions between ultracold lithium atoms and ytterbium ions. The preparation of ultracold clouds of Li atoms is described as well as their subsequent…

The parameters of many-body potentials for Co, Nb and Zr metals, based on the embedded-atom method, have been systematically derived. The analytical potential scheme allows us to reproduce correctly the cohesive energies and structural…

Materials Science · Physics 2014-05-02 Pascal Thibaudeau , Julian Gale

In this paper we present new parameters of the TB-SMA interatomic potentials for the Pt/Cu(111) surface alloy. The parameters are fitted using both the experimental and {\it ab initio} data. The potentials reproduce not only the bulk…

Materials Science · Physics 2018-06-14 S. A. Dokukin , S. V. Kolesnikov , A. M. Saletsky , A. L. Klavsyuk

Fusion energy stands out as a promising alternative for a future decarbonised energy system. To be sustainable, future fusion nuclear reactors will have to produce their own tritium. In the so-called breeding blanket of a reactor, the…

Other Condensed Matter · Physics 2021-07-21 J. Martí , F. Mazzanti , G. E. Astrakharchik , L. Batet , L. Portos-Amill , B. Pedreño

An interatomic potential (termed EAM-21) has been developed with the embedded atomic method (EAM) for CrFeMnNi quaternary HEAs. This potential is based on a previously developed potential for CrFeNi ternary alloys. The parameters to develop…

Large-scale computer simulations of chemical atoms are used in a wide range of applications, including batteries, drugs, and more. However, there is a problem with efficiency as it takes a long time due to the large amount of calculation.…

Materials Science · Physics 2024-02-28 Hyun Gyu Park , Soohaeng Yoo Willow , D. ChangMo Yang , Chang Woo Myung

The embedded atom method (EAM) potentials are probably the most widely used interatomic potentials for metals and alloys. However, the EAM potentials impose three constraints on elastic constants that are inconsistent with experiments. At a…

Materials Science · Physics 2015-06-11 L. G. Zhou , Hanchen Huang

The high-temperature performance of liquid $Li_{17}Pb_{83}$, a key fusion reactor material, is governed by its atomic-scale dynamics. Using ab initio molecular dynamics, we discover that lithium diffusion is not free but confined within…

Materials Science · Physics 2025-11-13 Sensen Lin , Yang Gao , Yongheng Lu , Yongkuan Zhang , Yiqiang Sun

We develop a new approach to determining LJ-EAM potentials for alloys and use these to determine the solid-liquid phase diagrams for binary metallic alloys using Kofke's Gibbs-Duhem integration technique combined with semigrand canonical…

Materials Science · Physics 2013-05-29 H. -S. Nam , M. I. Mendelev , D. J. Srolovitz

Series of molecular dynamics simulations for 2-propanol-water mixtures, as a function of temperature (between freezing and room temperature) and composition (xip= 0, 0.5, 0.1 and 0.2) have been performed for temperatures reported in the…

Chemical Physics · Physics 2019-11-06 Szilvia Pothoczki , László Pusztai , Imre Bakó

Materials used in commercial D-T fusion reactors will be exposed to irradiation and a mixture of helium and hydrogen plasma. Modeling the microstructural evolution of such materials requires the use of large-scale molecular dynamics…

A novel embedded atom method (EAM) potential for the Xi-phases of Al-Pd-Mn has been determined with the force-matching method. Different combinations of analytic functions were tested for the pair and transfer part. The best results are…

Materials Science · Physics 2012-02-09 Daniel Schopf , Peter Brommer , Benjamin Frigan , Hans-Rainer Trebin

We develop an Fe-C-H interatomic potential based on the modified embedded-atom method (MEAM) formalism based on density functional theory to enable large-scale modular dynamics simulations of carbon steel and hydrogen.

Materials Science · Physics 2022-07-08 Sungkwang Mun , Nayeon Lee , Doyl Dickel , Sara Adibi , Bradley Huddleston , Raj Prabhu , Krista Limmer

Borosilicate glasses are traditionally challenging to model using atomic scale simulations due to the composition and thermal history dependence of the coordination state of B atoms. Here, we report a new empirical interatomic potential…

Disordered Systems and Neural Networks · Physics 2018-08-01 Mengyi Wang , N. M. Anoop Krishnan , Bu Wang , Morten M. Smedskjaer , John C. Mauro , Mathieu Bauchy

Machine learning potentials (MLPs) are becoming powerful tools for performing accurate atomistic simulations and crystal structure optimizations. An approach to developing MLPs employs a systematic set of polynomial invariants including…

Computational Physics · Physics 2020-11-18 Atsuto Seko